Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings

DC FieldValueLanguage
dc.contributor.authorGrayson, Siobhán-
dc.contributor.authorMulvany, Maria-
dc.contributor.authorWade, Karen-
dc.contributor.authorMeaney, Gerardine-
dc.contributor.authorGreene, Derek-
dc.date.accessioned2017-07-27T14:07:05Z-
dc.date.available2017-07-27T14:07:05Z-
dc.date.issued2017-06-20-
dc.identifier.urihttp://hdl.handle.net/10197/8692-
dc.descriptionLDK 2017: Language, Data and Knowledge, Galway, Ireland, 19-20 June 2017en
dc.description.abstractWithin the last decade, substantial advances have been made in the field of computational linguistics, due in part to the evolution of word embedding algorithms inspired by neural network models. These algorithms attempt to derive a set of vectors which represent the vocabulary of a textual corpus in a new embedded space. This new representation can then be used to measure the underlying similarity between words. In this paper, we explore the role an author's gender may play in the selection of words that they choose to construct their narratives. Using a curated corpus of forty-eight 19th century novels, we generate, visualise, and investigate word embedding representations using a list of gender-encoded words. This allows us to explore the different ways in which male and female authors of this corpus use terms relating to contemporary understandings of gender and gender roles.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.subjectMachine learningen
dc.subjectStatisticsen
dc.titleExploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddingsen
dc.typeConference Publicationen
dc.internal.webversionshttp://ldk2017.org/-
dc.statusPeer revieweden
dc.neeo.contributorGrayson|Siobhán|aut|-
dc.neeo.contributorMulvany|Maria|aut|-
dc.neeo.contributorWade|Karen|aut|-
dc.neeo.contributorMeaney|Gerardine|aut|-
dc.neeo.contributorGreene|Derek|aut|-
dc.date.updated2017-04-21T14:08:55Z-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:English, Drama & Film Research Collection
Computer Science Research Collection
UCD Humanities Institute Research Collection
Insight Research Collection
Files in This Item:
 File SizeFormat
Downloadinsight_publication.pdf1.46 MBAdobe PDF
Show simple item record

Page view(s) 50

1,508
Last Week
2
Last month
21
checked on Jun 27, 2022

Download(s) 10

1,069
checked on Jun 27, 2022

Google ScholarTM

Check


If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.